Umut Eser’s Post

🗣️ Regulatory has one home — Weave. As we embrace the New Year, we’re excited to reintroduce Weave, the only AI-native, regulatory automation management platform that can support your entire therapeutic lifecycle. We know every submission is key to your success, and Weave's offering optimizes processes along the journey — allowing you to allocate manual, repetitive tasks to AI so your scientists and other experts can focus on experiments, strategy, and program management. 🎉  The Weave platform sets a new standard and we'll spotlight enhanced features in #AutoIND and our new offerings in our weekly series, Weave Wednesdays! Yes, it is back, and it will be better than ever in #2025. Interested in learning more or collaborating? 🤝 Want to share challenges we may be able to address? 💡 Reach out today: [email protected] 📧 #RegulatoryReimagined #Biotech #Pharma #AI #Weave #WeaveWednesday

🚀 #SpeedupTimetoMarket – with #Digitalization & #AI in the Life Sciences Industry! 🧬💡 #Regulatory processes are often complex, time-consuming, and a critical factor for market success. But what if we could make these processes smarter, faster, and safer? 🔹 Automated document verification & AI-driven analytics reduce errors and boost efficiency. 🔹 Digital platforms & workflow optimization shorten processing times and ensure seamless compliance. 🔹 Data-driven decision models help companies identify risks early and proactively manage regulatory requirements. At Akkodis, we support companies in the #pharmaceutical and #MedTech sectors in implementing digital and AI-driven solutions – for faster approvals, lower costs, and a secure market launch. ✅ 💡 Let’s innovate together! How do you currently leverage digitalization in regulatory processes? Let’s connect and discuss! 👇 Dieter Müller Werner Brugger Dr. Armin Breitenbach, RNDR, MSc.,MBA, LSS Blackbelt Juan Arias-Camison Carla Harfouch Stefan Ulm Nicolas Bonnotte Thorsten Kümpel Dr. Uwe Rosenberger Patrick Tjok Joe #LifeSciences #TimeToMarket #RegulatoryAffairs #AI #DigitalTransformation #Akkodis

Alright, AI can really transform your biotech—helping you find the best drug doses, predict enzyme structures, speed up regulatory tasks, and even forecast patient outcomes. But here’s the thing: AI is only as good as the data it gets. If you're still using outdated tools like ELN, LIMS, or SDMS, your data ends up stuck and scattered. These systems weren’t built for AI, and they hold your data back from reaching its full potential. What you need is a smarter alternative—a digital brain for your lab. Scispot creates a connected datalake and builds data pipelines, essentially giving you a digital twin of your lab so your data is always ready for AI. Companies like Moderna are already doing this because they were built as a Digital Biotech from the start, leveraging AI to accelerate breakthroughs in drug development (read more here: https://lnkd.in/gbmZ2bD7). But what if you're not Moderna? Scispot’s mission is to turn every biotech AI-ready without breaking the bank. Without this foundation, AI just can’t deliver the breakthroughs you're aiming for. Now’s the moment to rethink your approach, get your data in shape, and let Scispot help you fully harness AI's power. #AIinBiotech #AIBiotech

How Generative AI is Shaping the Future of Pharma Document Generation? Let’s talk about how generative AI is doing more than just handling paperwork in the pharmaceutical industry. From making production processes smoother to predicting problems before they happen, AI is truly changing the game. 🤖💊 Generative AI can optimize workflows, reduce human error, and ensure compliance with strict industry regulations. It’s not just about automating documentation anymore; it’s about enhancing every aspect of the manufacturing process. Imagine AI predicting equipment maintenance needs before breakdowns occur or adjusting production parameters in real-time to maintain optimal conditions. These advancements are not just futuristic—they’re happening now. AI not only takes care of documents but also boosts efficiency, ensures quality, and sparks innovation. That’s the future we’re excited about! 🌟🔬 The possibilities are endless and incredibly exciting. Whether you’re a small startup or a large pharmaceutical company, generative AI can provide significant benefits. It’s all about finding the right applications for your specific needs. Interested in how this tech can help your operations? Let’s chat and share some ideas! 💬🤝 #GenerativeAI #Innovation #PharmaceuticalManufacturing #AIinPharma #TechInPharma #PharmaIndustry #AITraining #HealthcareInnovation #DocumentManagement #SOPAutomation #PharmaCompliance #AskGxP

🛠️ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗧𝗮𝘀𝗸𝘀 🔄 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 👔 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟳: 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗝𝗼𝗯𝘀 & 𝗥𝗼𝗹𝗲𝘀 There's a lot of hype around AI agents - with over $1 billion invested in startups in 2024 alone (excluding investments in OpenAI and other major players). 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗵𝗼𝘄 𝘄𝗲 𝘄𝗼𝗿𝗸. 𝗙𝗼𝗿 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘁𝗶𝗺𝗲 𝗶𝗻 𝗵𝗶𝘀𝘁𝗼𝗿𝘆, 𝘄𝗲’𝗹𝗹 𝗯𝗲 𝗮𝗯𝗹𝗲 𝘁𝗼 𝗱𝗲𝗹𝗲𝗴𝗮𝘁𝗲 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝘄𝗼𝗿𝗸 𝘁𝗼 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀 - 𝘀𝗶𝗺𝗶𝗹𝗮𝗿 𝘁𝗼 𝗵𝗼𝘄 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝘂𝘀 𝘁𝗼 𝗱𝗲𝗹𝗲𝗴𝗮𝘁𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗹𝗮𝗯𝗼𝗿 𝘁𝗼 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀. That said, it’s important to approach this pragmatically. While I may be off on the timeline, I foresee agents gradually making an impact-starting with tasks, then processes, and eventually entire jobs. This is especially significant in regulated industries like life sciences, where AI agents could drive breakthroughs, such as discovering novel medicines and accelerating clinical trials. Buckle up - The era of AI agents is just beginning! 🚀 #AI #ArtificialIntelligence #AIAgents #FutureOfWork #Automation #LifeSciences #ClinicalTrials #DigitalTransformation #AIRevolution #AIImpact #EmergingTech #Pharmaceutical #RDIT #PharmaIT

AI TO TRANSFORM DRUG DEVELOPMENT IN 2025 AI is here to save Big Pharma from its “Eroom’s Law” disaster—turning billion-dollar drug flops into faster wins. Pharma’s been stuck in the slow lane, but AI promises designer meds and rapid R&D at sci-fi speeds. By 2025, your next breakthrough drug might just come from a bot. Finally, tech that’s not just for TikToks! Source: The Economist, Mario Nawfal

🌟 Balancing Technology With Genuine Connections In the ever-evolving landscape of AI and data-driven tools, one thing remains timeless: human relationships. Here’s how we can strike the perfect balance: 🤖 Avoid Over-Reliance on Technology: Use AI as a tool to enhance—not replace—your interactions. Meaningful connections come from real conversations, not algorithms. 💡 Support Relationship-Building: Let technology handle the data while you focus on empathy and understanding. Authentic engagement makes all the difference. 🌱 Stay Authentic in a Data-Driven Role: Metrics matter, but your ability to genuinely connect is irreplaceable. Keep the human touch at the core of everything you do. Let’s embrace innovation while remembering that people are at the heart of every interaction. What strategies do you use to stay connected in this AI-driven world? Share your thoughts below! 👇 #medicalscienceliaison #clinicalpharmacists #pharma #pharmd #pharmacists #healthcarepractitioners #medicalaffairs #themslacademy #msl #mslcareer #biotech

How is AI revolutionizing regulated industries? 💡 From pharmaceuticals to finance, AI-powered solutions transform how businesses manage compliance, improve accuracy, and scale operations. By automating complex tasks and reducing human error, AI makes processes more efficient and reliable – essential in highly regulated sectors. In our latest blog post, we explore how AI is reshaping the future of industries like healthcare, finance, and pharma. Read the full article to learn more! The link is in the comments 👇

It’s never been a more opportune moment to launch an AI-driven software solution in #lifesciences, but there’s a twist. Recent data (from a16z 👇 ) shows that product-led growth has become more challenging, and 85% of verticals won’t see the full impact of gen AI for another 2–3 years. In enterprise sales, especially in life science, immediate ROI is paramount. Lengthy pilots and unproven claims won’t suffice. #biotech and #pharmaceutical labs offer a unique opening for AI solutions that start small but can scale. These labs often handle repetitive, low-value tasks, which makes them an effective wedge for cost-effective, easy-to-deploy AI agents. Reducing these burdens not only yields quick, tangible results but also builds the trust necessary for broader adoption. If your organization’s timeline for large-scale genAI solutions doesn’t align with urgent needs, begin by solving niche, high-pain problems. This gives you a practical way to test AI’s value in daily operations and helps you shape future technology decisions. From inventory management to asset tracking and animal studies, if you’re exploring AI solutions for your #labops, let’s connect to discuss how a targeted approach can help you get started.

I had two exciting days at the BioTechX, filled with insightful talks and engaging discussions, providing a glimpse into the transformative potential that data and AI hold for biotech and pharma. Here are my three key takeaways: 1⃣ Start with the problem, not the tech solution, to achieve tangible impact. 2⃣ Data will drive innovation. A solid data strategy—focusing on what data is captured, how it is managed, and how to leverage siloed and unstructured data—is essential. Building a robust data foundation, democratizing data assets, and implementing proper data governance are crucial steps toward enabling reliable AI innovations. 3⃣ Implementing AI across pharma is about rethinking how to bring value to patients. Effective change management is vital, and aligning objectives and incentives across the pharma chain is critical to making real-world impacts. While we may over-estimating the short-term impact of AI in life sciences, its long-term implications are still beyond full comprehension. Adaptability and collaboration will be the key to unlocking its full potential. I feel both inspired and challenged. What key tangible impact have you seen AI bring to pharma? Let us keep the conversation going. #AI #Innovation #AIClinicalResearch #AIHealthcare #Pharma #BioTech #LifeSciences #BioTechX #Networking